Bibliometric Mapping of Technology Acceptance in Artificial Intelligence, Machine Learning, and Neuronal Networks: A Comparative Analysis of WoS and Scopus (1999–2023)

Mercè Teixidó; Emiliano Borri; Manel Díaz; Carles Mateu; Luisa F. Cabeza

doi:10.14201/adcaij.32708

Bibliometric Mapping of Technology Acceptance in Artificial Intelligence, Machine Learning, and Neuronal Networks: A Comparative Analysis of WoS and Scopus (1999–2023)

Mercè Teixidó

GRIHO Research Group
Emiliano Borri

GREiA Research Group, University of Lleida, Pere de Cabrera St., Lleida, 25001, Spain
Manel Díaz

GRIHO Research Group manel.diazllobet[at]gmail.com
Carles Mateu

GREiA Research Group, University of Lleida, Pere de Cabrera St., Lleida, 25001, Spain
Luisa F. Cabeza

GREiA Research Group, University of Lleida, Pere de Cabrera St., Lleida, 25001, Spain

https://doi.org/10.14201/adcaij.32708

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How to Cite

Teixidó, M., Borri, E., Díaz, M., Mateu, C., & Cabeza, L. F. (2025). Bibliometric Mapping of Technology Acceptance in Artificial Intelligence, Machine Learning, and Neuronal Networks: A Comparative Analysis of WoS and Scopus (1999–2023). ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 14, e32708. https://doi.org/10.14201/adcaij.32708

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Editorial dates

Submitted:

19-12-2024

Acceptance:

01-10-2025

Published:

09-12-2025

Issue

Vol. 14 (2025)

Section

Articles

Keywords

technology acceptance
artificial intelligence
machine learning
neuronal networks
AI integration
bibliometric analysis
AI emerging research

Supporting agencies

This work was partially supported by ICREA within the ICREA Academia program. The funding source had no involvement in the study design, data collection, analysis, interpretation, or in the decision to publish this manuscript.

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